AKdream

AKdream — CS2 Stats

76561198166776336[U:1:206510608]Steam profile ↗✓ No bans

1,089Tracked matches48%Win rate2023Tracked since
CSDB Rating6.4 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+21Tracked matches · now 1,089
+14.8ppWin rate · 33.3% → 48.1%

Rating over time

38Days played since 2026-06-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim76
Positioning64
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY33–60–7Last 10033%Win rateLWWTWWLLLT

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.1pp headshot accuracy · −10ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 581ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 574ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 579ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim7.6
Utility4.6
Positioning6.4
Opening Duels5.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.6
Positioning6.4
Utility4.6
Mechanics7.2
Opening Duels5.8
Win Impact4.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time562ms−29ms
first ⅓ avg 591ms → last ⅓ avg 562ms
Headshot accuracy25.4%+0.6%
first ⅓ avg 24.8% → last ⅓ avg 25.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–11 · overpass, 14 Oct →
42%Best headshot accuracy · 10–13 · stronghold, 30 Jun →
422msFastest reaction time · 0–13 · inferno, 23 Sept →
13–2Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB115–645%0.01
nukeD112–918%0.01
mirageC104–640%0.05
dust2D91–811%-0.00
officeA95–456%0.00
vertigoB84–450%0.02
trainD82–625%0.00
overpassS64–267%0.03
cacheD61–517%0.03
ancientC52–340%0.02
anubisC52–340%0.04
italy—30–30%-0.02
shelter—30–30%0.03
boulder—20–20%0.03
fachwerk—21–150%0.06
alpine—10–10%-0.05
stronghold—10–10%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
48%Win rate
1.13Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWL

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
34.5%Spray accuracy
82.4%Counter-strafing
11.5°Preaim
562msReaction time
55.6%T opening success
51.0%CT opening success
0.48Enemies flashed / flash
12.8%Flash assists
15.57HE damage / grenade
2.81Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4833 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–130.0120%15 Oct →
overpass13–100.0529%15 Oct →
vertigo13–70.0932%15 Oct →
mirage12–120.0326%14 Oct →
mirage13–80.1229%14 Oct →
overpass13–110.1324%14 Oct →
inferno11–130.0724%13 Oct →
nuke9–13-0.0431%7 Oct →
train11–130.0222%7 Oct →
dust215–150.0137%1 Oct →
nuke11–130.0428%30 Sept →
anubis12–120.0613%30 Sept →
inferno13–20.1030%30 Sept →
dust24–13-0.0122%23 Sept →
vertigo13–80.0733%23 Sept →
inferno0–13-0.0414%23 Sept →
train13–60.1232%23 Sept →
vertigo6–13-0.0824%23 Sept →
inferno9–13-0.0139%22 Sept →
ancient13–90.0717%22 Sept →
anubis13–70.1017%22 Sept →
italy5–13-0.0116%9 Sept →
nuke7–130.0229%9 Sept →
overpass13–70.0023%8 Sept →
shelter11–130.0028%8 Sept →
vertigo13–80.0520%8 Sept →
vertigo11–130.0921%8 Sept →
vertigo11–13-0.0728%8 Sept →
nuke13–4-0.0622%7 Sept →
office13–50.0231%7 Sept →
nuke9–130.0525%7 Sept →
inferno13–100.0320%6 Sept →
ancient13–70.0133%6 Sept →
anubis13–70.0518%3 Sept →
nuke11–130.0419%1 Sept →
cache7–130.0926%1 Sept →
train0–13-0.0224%1 Sept →
dust213–11-0.0027%29 Aug →
office6–13-0.0626%29 Aug →
overpass10–130.0132%26 Aug →
train11–13-0.0415%18 Aug →
mirage9–130.0339%13 Aug →
office8–130.0529%13 Aug →
train4–13-0.0716%12 Aug →
inferno9–13-0.0521%11 Aug →
boulder8–13-0.0023%11 Aug →
cache13–5-0.0022%7 Aug →
dust20–20.000%7 Aug →
mirage13–9-0.0222%7 Aug →
mirage4–13-0.0117%7 Aug →
cache2–13-0.0213%7 Aug →
mirage2–130.0613%6 Aug →
dust24–13-0.0215%6 Aug →
ancient2–13-0.0423%6 Aug →
italy12–12-0.0030%30 Jul →
overpass3–13-0.0010%30 Jul →
dust210–130.0119%30 Jul →
vertigo0–13-0.0321%30 Jul →
shelter9–130.1033%28 Jul →
fachwerk13–60.0625%28 Jul →
dust24–13-0.0224%16 Jul →
nuke13–70.0035%16 Jul →
dust25–130.0011%16 Jul →
fachwerk12–120.0525%16 Jul →
nuke4–130.0025%15 Jul →
cache10–13-0.0324%15 Jul →
mirage9–130.0322%15 Jul →
office13–80.0730%15 Jul →
inferno1–13-0.0321%15 Jul →
shelter4–13-0.0013%9 Jul →
boulder2–130.0738%9 Jul →
mirage9–130.0219%9 Jul →
nuke7–130.0129%9 Jul →
nuke12–120.0127%8 Jul →
anubis6–130.0216%8 Jul →
office13–10-0.0719%7 Jul →
cache7–130.0421%6 Jul →
office8–13-0.0331%2 Jul →
cache9–130.0926%2 Jul →
mirage13–70.1316%2 Jul →
train13–40.0833%1 Jul →
office13–110.0323%1 Jul →
alpine8–13-0.0532%30 Jun →
stronghold10–130.1142%30 Jun →
italy4–13-0.0632%24 Jun →
nuke12–120.0328%24 Jun →
overpass13–9-0.0212%24 Jun →
anubis6–13-0.0426%23 Jun →
vertigo13–90.0619%17 Jun →
mirage6–00.1032%17 Jun →
train9–13-0.0834%17 Jun →
inferno13–40.0821%17 Jun →
train6–13-0.0120%17 Jun →
dust29–130.0320%16 Jun →
office13–8-0.0021%16 Jun →
inferno5–13-0.0319%16 Jun →
ancient6–130.0530%16 Jun →
inferno13–11-0.0322%11 Jun →
inferno13–30.0320%11 Jun →
office7–130.0227%11 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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